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» Active Learning Methods for Interactive Image Retrieval
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MICCAI
2007
Springer
16 years 19 days ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
ISVC
2007
Springer
15 years 5 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
IDEAL
2005
Springer
15 years 5 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...
ICIP
2005
IEEE
16 years 1 months ago
Improving performance of interactive categorization of images using relevance feedback
When using relevance feedback for the interactive categorization of images, the strategy employed by the system to select images to be presented to the user is of paramount import...
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
ICPR
2006
IEEE
16 years 24 days ago
Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation
This paper presents a fast and efficient method to determine intervertebral disk orientation in a magnetic resonance (MR) image of the spine. The algorithm originates from active ...
Amer Abufadel, Gregory G. Slabaugh, Gozde B. Unal,...